RUPESH KUMAR DEWANG

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• Doctor of Philosophy
• Assistant Professor at Motilal Nehru National Institute of Technology

Insider threats are profoundly damaging and pose serious security challenges. These threats, perpetrated by insiders, may arise from delinquency, retaliation, or motives such as ambition for success, recognition, financial gain, or knowledge acquisition. They manifest in various forms; for example, an insider might disrupt systems by inserting a ma...

Fake reviews and reviewers pose a significant challenge for online review platforms as they can mislead consumers and harm businesses’ reputations. Traditional methods for detecting fake reviews rely on supervised learning techniques, which require a large amount of labelled data and are not scalable for large datasets. However, detecting fake revi...

Due to the COVID-19 pandemic, the use of software applications has increased by end users, which is an issue regarding user data privacy. Numerous apps are collecting sensitive data like user location and phone number, which are becoming hotspots for cyber-attacks. A cyberattack breaches your data, attacking your information, thereby losing data in...

Social media has a profound impact on the formation of end-users’ social, economic, and political views. Unfortunately, some advertisement agencies and miscreants use fake and misleading reviews to influence people’s opinions on their political and business interests. These fake reviews are often posted using fake profiles to conceal the identity o...

Online reviews have a significant influence on consumers’ purchasing decisions. Unfortunately, many sellers exploit these reviews by employing a large number of spammers who strategically craft fake reviews to enhance their own reputation or tarnish their competitors’. Although several models have been proposed to address this issue in recent years...

Aspect-based sentiment analysis (ABSA) is a granular-level sentiment analysis task that aims to detect the sentiment polarities of a specified aspect in the text. This research shows excessive curiosity in modelling target and context through attention networks to attain effective feature representations for sentiment detection works. We have propo...

Twitter is one of the profitable sources of event-related data, to be specific, breaking news and local and global event reports. Due to its capacity to transmit data progressively, Twitter is exploited to detect events and generate a summary. Such detected events and their summaries can help the users and organisations to acquire actionable knowle...

Twitter is a fast emerging form of social media. People use Twitter as a platform to report real-life events. The present paper focuses on extracting those events by analyzing the text stream on Twitter. This paper presents methods that take the tweets in real time as input and generate clusters of tweets denoting different communities as output. T...

Human nature is that one takes others’ opinions before deciding to use the product and service. Hotel reviews provide a great deal of help to customers in online hotel booking. Negative reviews have a more devastating effect than positive ones. This paper presents research on a negative reviews dataset; half are fake, and the other half are non-fak...

Nowadays, media is widespread, whether social media or news TV channels, and has great manipulative powers. They can make the masses go for or against a particular topic, person or scenario and prove to be the significant element in moulding the mind-set of people. There are news sources that are very clear and expressive regarding their news conte...

With the development of technology, e-marketing and business competition, reviews significantly affect people’s lives. Consumers of e-commerce sites share their experiences, referencing other user reviews when making consumption decisions and evaluating product quality. People’s dependence on review information and business competition has triggere...

Heterogeneity is common in parallel and distributed environments used for extensive computations such as MapReduce. Stragglers are the tasks that are running on inferior performing nodes in the cluster. Early detection of stragglers is always challenging in such environments. In the previously proposed approaches, late detection of straggler tasks...

Nowadays, multimedia data on social media platforms of the Internet, especially images, are proliferating, due to which image retrieval systems based on content are one of the major research areas. Despite the introduction of various content-based images retrieval approaches, face recognition remains a problematic task. Consequently, this paper dev...

Hadoop is the most economical and cheap software framework that allows distributed storage and parallel processing of more extensive data sets. Hadoop distributed file system (HDFS) allows distributed storage and parallel processing of vast data sets using MapReduce. However, Hadoop’s current implementation believes that computing nodes connected i...

Hadoop MapReduce processes data on the cluster of commodity hardware (node) in two phases using Map and Reduce tasks. Yet another resource negotiator (YARN), a dynamic resource manager, allocates resources for Map tasks by preserving the data locality. In contrast, it allocates resources to schedule the Reduce tasks on any node in the cluster. The...

Automation is so prevalent in this present-day universe that it would be an injustice to areas not yet touched by it. Automating stuff in the veil of Recommendation Systems can do wonders irrespective of the field. Hence, we have perceived the idea of automating the interviewing process. AutIS can help mitigate the hardships and expenses involved i...

An interconnected network of multimedia devices is known as the Internet of Multimedia Things (IoMT). The characteristic of IoT to produce scalar sensor data differentiates this from IoMT. The IoMT consists of tiny multimedia devices that require less energy consumption and real-time data delivery. IoMT requires many multimedia devices connected th...

Cloud computing has emerged as a new way of sharing resources. MapReduce has become the de facto standard for cloud computing, which helps for data-intensive computation in parallel. Hadoop is an open-source framework that allows the implementation of MapReduce on the cluster of commodity hardware. An environment with different generations of commo...

Fake reviews are popular today where product reviewers write the reviews without experiencing or purchasing the product on e-commerce and restaurant portals. Currently, the false review recognition method uses the systematic review process to extract, summarise, and classify the meaningful content of the research, compare and analyse the representa...

Big data processing technology marks a prominent place in today's market. Hadoop is an efficient open-source distributed framework used to process big data with fewer expenses utilizing a cluster of commodity machines (nodes). In Hadoop, YARN got introduced for effective resource utilization among the jobs. Still, YARN over-allocates the resources...

Twitter is a platform where millions of people tend to tweet about new events happening in their lives. Celebrities tweeting about the new product endorsement, Politicians tweeting about their views towards a policy or people, Natural calamities occurring are tweeted instantly. Studying this data can provide us with useful information. In this pape...

This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn as part of the withdrawal of the Proceedings of the International Conference on Emerging Trends in Materials Science, Technology and Engineering (ICMSTE2K21). Su...

Hadoop MapReduce has become the de-facto standard in today’s Big data world to process the more prominent data sets on a distributed cluster of commodity hardware. Today computing nodes in a commodity cluster do not have the same hardware configuration, which leads to heterogeneity. Heterogeneity has become common in the industry, research institut...

With the advent of digital news, there is an overload of information from various news sites and blogs, on a wide variety of topics. People generally, neither have the time, nor the patience to go through a number of long news articles from various sites to get a gist of what is happening around them. This brings out the need for content summarizat...

A 0.4-THz on-chip antenna (OCA) is configured with high radiation efficiency and high gain, utilizing standard CMOS process technology. In this design, the back cavity is formed by connecting a top and bottom metal layer, which is connected through the vias, named substrate-integrated-waveguide (SIW). This back cavity finds to suppress the surface...

Sentiment Analysis is the study of sentiments expressed by people. Aspect based Sentiment Analysis is the study of sentiments expressed by people regarding the aspect of an entity. Aspect based Sentiment Analysis is becoming an important task in realising the finer sentiments of objects as described by people in their opinions. In the present paper...

E-commerce websites are now favourite for shopping comfortably at home without any burden of going to market. Their success depends upon the reviews written by the consumers who used particular products and subsequently shared their experiences with that product. The reviews also affects the buying decision of customer. Because of this reason the a...

In the era of e-commerce, customers are trust on on-line review. Reviews help them to make right decisions to buy a product or hire a service. Spammer are writes the fake review to promote or demote the target products. Reviews are spam or non-spam; this is the biggest problem for E-commerce business. Moreover, the spam detection problem is complex...